WO2019177052A1 - Système de détermination de sommeil/veille - Google Patents

Système de détermination de sommeil/veille Download PDF

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WO2019177052A1
WO2019177052A1 PCT/JP2019/010362 JP2019010362W WO2019177052A1 WO 2019177052 A1 WO2019177052 A1 WO 2019177052A1 JP 2019010362 W JP2019010362 W JP 2019010362W WO 2019177052 A1 WO2019177052 A1 WO 2019177052A1
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subject
sleep
load
standard deviation
load detector
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PCT/JP2019/010362
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English (en)
Japanese (ja)
Inventor
真佑 轟
史朗 磯野
徳仁 飯田
Original Assignee
ミネベアミツミ株式会社
国立大学法人 千葉大学
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Application filed by ミネベアミツミ株式会社, 国立大学法人 千葉大学 filed Critical ミネベアミツミ株式会社
Priority to CN201980019066.6A priority Critical patent/CN111867470B/zh
Priority to EP19766979.9A priority patent/EP3766424B1/fr
Priority to US16/979,738 priority patent/US20210038146A1/en
Publication of WO2019177052A1 publication Critical patent/WO2019177052A1/fr

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    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/48—Other medical applications
    • A61B5/4806—Sleep evaluation
    • A61B5/4809—Sleep detection, i.e. determining whether a subject is asleep or not
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/103—Detecting, measuring or recording devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
    • A61B5/1036—Measuring load distribution, e.g. podologic studies
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/103—Detecting, measuring or recording devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
    • A61B5/11—Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb
    • A61B5/113—Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb occurring during breathing
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/68—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient
    • A61B5/6887—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient mounted on external non-worn devices, e.g. non-medical devices
    • A61B5/6891—Furniture
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/68—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient
    • A61B5/6887—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient mounted on external non-worn devices, e.g. non-medical devices
    • A61B5/6892—Mats
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/72—Signal processing specially adapted for physiological signals or for diagnostic purposes
    • A61B5/7235—Details of waveform analysis
    • A61B5/7242—Details of waveform analysis using integration
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/72—Signal processing specially adapted for physiological signals or for diagnostic purposes
    • A61B5/7235—Details of waveform analysis
    • A61B5/7246—Details of waveform analysis using correlation, e.g. template matching or determination of similarity
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/72—Signal processing specially adapted for physiological signals or for diagnostic purposes
    • A61B5/7271—Specific aspects of physiological measurement analysis
    • A61B5/7278—Artificial waveform generation or derivation, e.g. synthesising signals from measured signals
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B2562/00—Details of sensors; Constructional details of sensor housings or probes; Accessories for sensors
    • A61B2562/02—Details of sensors specially adapted for in-vivo measurements
    • A61B2562/0252—Load cells

Definitions

  • the present invention relates to a sleep / wake determination system that performs sleep / wake determination of a subject based on a detection value of a load detector.
  • Patent Document 1 calculates the number of human movements on the bedding, that is, the number of body movements based on the detection result of the load detection unit, and determines that the subject is in a sleep state based on the calculated number of body movements.
  • a determination device is disclosed.
  • a sleep / wake determination system for determining whether a subject on a bed is in a sleep state or a wake state,
  • a load detector for detecting the load of the subject on the bed; Sleep comprising: a determination unit that determines whether the subject is in a sleep state or a wake state based on a comparison between a threshold value and a value obtained by time-integrating a standard deviation of temporal variation of the subject's load
  • a wakefulness determination system is provided.
  • the sleep / wakefulness determination system may further include a respiration waveform acquisition unit that obtains the respiration waveform of the subject based on temporal variation in the load of the subject, and the determination unit determines the standard deviation. Based on a comparison between a value obtained by time integration of the value divided by the amplitude of the respiratory waveform and a threshold value, it may be determined whether the subject is in a sleeping state or a wakefulness state.
  • the load detector may include at least a first load detector and a second load detector, and the standard deviation is detected by the first load detector. It may be a simple average value of the first standard deviation of the temporal variation of the subject's load and the second standard deviation of the temporal variation of the subject's load detected by the second load detector.
  • the load detector may further include a third load detector and a fourth load detector, and the standard deviation is detected by the first load detector.
  • a first standard deviation of the temporal variation of the subject's load, a second standard deviation of the temporal variation of the subject's load detected by the second load detector, and the subject's detected of the subject by the third load detector It may be a simple average value of the third standard deviation of the temporal variation of the load and the fourth standard deviation of the temporal variation of the subject's load detected by the fourth load detector.
  • the load detector may include at least a first load detector and a second load detector, and the standard deviation is the first load detector at each time.
  • One of the first standard deviation of the temporal variation of the subject's load detected by the second standard deviation and the second standard deviation of the temporal variation of the subject's load detected by the second load detector is sequentially selected. It may be a series of values obtained.
  • Bed and A bed system comprising the sleep / wakefulness determination system of the first aspect is provided.
  • the sleep / wakefulness determination of a subject can be performed with higher accuracy.
  • FIG. 1 is a block diagram showing a configuration of a sleep / wake determination system according to an embodiment of the present invention.
  • FIG. 2 is an explanatory diagram showing the arrangement of the load detector with respect to the bed.
  • FIG. 3 is a flowchart showing a sleep / wake determination method using the sleep / wake determination system.
  • FIG. 4 is a schematic graph showing the state of fluctuation of the load value detected by the load detector in both a rest period in which the subject is only breathing and a period in which the subject is moving. .
  • FIG. 5A is an explanatory diagram conceptually showing a state where the center of gravity of the subject vibrates in the body axis direction of the subject according to the breathing of the subject.
  • FIG.5 (b) is a graph which shows an example of the respiration waveform drawn based on the vibration of a test subject's gravity center according to a test subject's respiration.
  • FIGS. 6 (a), 6 (b), 6 (c), 6 (d), and 6 (e) show the relationship between the body movement of the subject and the amount of increase in the activity index due to this, respectively. It is a graph to show.
  • FIG. 6A is a graph when a sleeping subject is turned over
  • FIG. 6B is a graph when a switch occurs in a sleeping subject
  • FIG. 6C is a graph showing the right hand of a sleeping subject.
  • 6D is a graph when the awakening subject is reading
  • FIG. 6E is a graph when the awakening subject is eating.
  • FIG. 7 is a block diagram illustrating an overall configuration of a bed system according to a modification.
  • the sleep / wake determination system 100 of this embodiment mainly includes a load detection unit 1, a control unit 3, and a storage unit 4.
  • the load detection unit 1 and the control unit 3 are connected via an A / D conversion unit 2.
  • a display unit 5 and an input unit 6 are further connected to the control unit 3.
  • the load detector 1 includes four load detectors 11, 12, 13, and 14. Each of the load detectors 11, 12, 13, and 14 is a load detector that detects a load using, for example, a beam-type load cell. Such a load detector is described in, for example, Japanese Patent No. 4829020 and Japanese Patent No. 4002905.
  • the load detectors 11, 12, 13, and 14 are each connected to the A / D converter 2 by wiring or wirelessly.
  • the four load detectors 11 to 14 of the load detector 1 are attached to the lower ends of the legs BL 1 , BL 2 , BL 3 , BL 4 at the four corners of the bed BD used by the subject S. They are arranged below the casters C 1, C 2, C 3 , C 4.
  • the A / D converter 2 includes an A / D converter that converts an analog signal from the load detector 1 into a digital signal, and is connected to the load detector 1 and the controller 3 by wiring or wirelessly.
  • the control unit 3 is a dedicated or general-purpose computer, in which a standard deviation calculation unit 31, a respiratory waveform drawing unit (a respiratory waveform acquisition unit, a respiratory waveform calculation unit) 32, and a sleep / wake determination unit 33 are constructed.
  • the storage unit 4 is a storage device that stores data used in the sleep / wake determination system 100.
  • a hard disk magnetic disk
  • the display unit 5 is a part that performs a predetermined display based on the output from the control unit 3, and includes a monitor 51 such as a liquid crystal monitor that displays an image (video), and a speaker 52 that performs an audio display.
  • a monitor 51 such as a liquid crystal monitor that displays an image (video)
  • a speaker 52 that performs an audio display.
  • the input unit 6 is an interface for performing a predetermined input to the control unit 3, and can be a keyboard and a mouse.
  • the determination of the sleep / wake of the subject using the sleep / wake determination system 100 is performed by the load detection step S ⁇ b> 1 for detecting the load of the subject S and the standard deviation indicating the degree of fluctuation of the detected load.
  • the standard deviation calculation step S2 for calculating the respiration
  • the respiration waveform drawing step S3 for drawing the respiration waveform of the subject based on the detected load
  • the standard deviation obtained in the standard deviation calculation step S2 and the respiration waveform drawn in the respiration waveform drawing step
  • a sleep / wake determination step S4 for performing sleep / wake determination of the subject
  • a display step S5 for displaying the result of the sleep / wake determination.
  • the load detection step S1 the load of the subject S on the bed BD is detected using the load detectors 11, 12, 13, and 14.
  • the load of the subject S on the bed BD is distributed and applied to the load detectors 11 to 14 arranged below the legs BL 1 to BL 4 at the four corners of the bed BD, and is detected in a distributed manner.
  • Each of the load detectors 11 to 14 detects a load (change in load) and outputs it to the A / D converter 2 as an analog signal.
  • the A / D conversion unit 2 converts the analog signal into a digital signal with a sampling period of, for example, 5 milliseconds, and outputs the digital signal to the control unit 3 as a digital signal (hereinafter “load signal”).
  • load signals obtained by digitally converting the analog signals output from the load detectors 11, 12, 13, and 14 in the A / D converter 2 are respectively represented as load signals s 1 , s 2 , s 3 , and s. Call it 4 .
  • the standard deviation calculation unit 31 calculates the standard deviation of the sampling values included in the predetermined sampling period (for example, 5 seconds) for each of the load signals s 1 , s 2 , s 3 , s 4. (Moving standard deviation) ⁇ 1 , ⁇ 2 , ⁇ 3 , ⁇ 4 are calculated. The calculation can be performed constantly.
  • the standard deviation represents the magnitude of variation in the sampling value, as shown in FIG. 4, the subject P on the bed BD is at rest, and the period P 1 in which the amount of variation in the load signals s 1 to s 4 is small. In, the standard deviations ⁇ 1 to ⁇ 4 are also reduced. On the other hand, the subject S is moving (body S is moving), and the standard deviations ⁇ 1 to ⁇ 4 are also increased during the period P 2 in which the amount of variation of the load signals s 1 to s 4 is large. .
  • the period during which body movement is occurring in the subject S is standard compared to the period during which no body movement is occurring in the subject S (for example, the period during which the subject S only breathes without moving the torso or limbs).
  • the values of deviations ⁇ 1 to ⁇ 4 increase.
  • body motion includes “large body motion” and “small body motion”. Although the subject's body moves slightly due to the subject's breathing and heartbeat, these are not included in “body movement”.
  • “Large body movement” means a relatively large body movement of the subject (trunk) among the body movements of the subject, specifically, for example, turning over or getting up.
  • the direction of the subject's body axis (the direction in which the subject's spine extends) generally changes.
  • “Small body movement” means a relatively small body movement of the subject that does not involve movement of the trunk (trunk), and specifically, for example, movements of only the limbs and head.
  • the values of the standard deviations ⁇ 1 to ⁇ 4 when the body motion of the subject S is large are the values of the standard deviations ⁇ 1 to ⁇ 4 when the body motion of the subject S is small. Bigger than.
  • respiration waveform drawing unit (respiration waveform acquisition unit, respiration waveform calculation unit) 32 draws the respiration waveform of the subject S based on the load signals s 1 to s 4 .
  • the “respiration waveform” means a waveform that develops on the time axis the state of vibration of the subject's center of gravity that vibrates in the body axis direction of the subject in response to the subject's breathing.
  • One cycle of the respiratory waveform corresponds to one breath (expiration and inspiration) of the subject.
  • the amplitude of the respiration waveform is affected by the physique of the subject and the depth of respiration. Specifically, for example, the amplitude increases when the subject is large or the subject takes a deep breath, and the amplitude decreases when the subject is small or the subject takes a shallow breath.
  • the respiration waveform drawing unit 32 draws a respiration waveform as follows.
  • the respiration waveform drawing unit 32 first calculates the position of the center of gravity G of the subject S at each sampling time based on the load signals s 1 to s 4 from the load detection unit 1.
  • the center of gravity G of the subject S vibrates in the direction of the body axis SA of the subject S according to the breathing of the subject S, as shown in FIG.
  • the respiratory waveform drawing unit 32 uses the direction of the body axis SA as the vertical axis and the time axis as the horizontal axis, and the position of the center of gravity G projected on the body axis SA at each time and the vibration of the center of gravity G according to the breath
  • the respiratory waveform BW (FIG. 5B) is drawn by plotting the distance between the center of vibration and the vertical axis.
  • the respiration waveform drawing unit 32 does not necessarily need to actually draw a respiration waveform, and may only obtain data indicating the respiration waveform.
  • the sleep / wake determination unit 33 uses the standard deviations ⁇ 1 to ⁇ 4 calculated in the standard deviation calculation step S2 and the amplitude of the respiratory waveform BW drawn in the respiratory waveform drawing step S3. Then, it is determined whether the subject S is in a sleep state or an awake state.
  • the determination is performed as follows.
  • the sleep / wake determination unit 33 performs peak detection on the respiratory waveform BW drawn in the respiratory waveform drawing step S3, and based on the two consecutive peaks and the minimum value between the two peaks, The amplitude An (FIG. 5B) of the waveform BW is obtained. Then, a simple average of the amplitudes An obtained sequentially for each cycle of the respiration waveform BW is calculated, and the respiration waveform average amplitude A is obtained.
  • the sleep / wakefulness determination unit 33 obtains standardized standard deviations ⁇ s 1 to ⁇ s 4 by the following equation (1).
  • the values of the standard deviations ⁇ 1 to ⁇ 4 increase during the period in which the subject S is in motion.
  • the standard deviations ⁇ 1 to ⁇ 4 indicate the magnitudes of variations in the detected values of the load detectors 11 to 14 according to the body movement of the subject S. Even if it is the same, it becomes larger when the subject S is large than when the subject S is small.
  • the amplitude of the respiratory waveform is affected by the physique of the subject S, if the subject S is large, the amplitude An and the respiratory waveform average amplitude A are large, and if the subject S is small, the amplitude An. And the respiration waveform average amplitude A becomes small.
  • Equation 1 by normalizing by dividing the values of the standard deviations ⁇ 1 to ⁇ 4 by the respiratory waveform average amplitude A, the physique (physical characteristics) of the subject S becomes the standard deviation ⁇ 1 to The influence on the value of ⁇ 4 can be reduced (compensated). Then, by performing the sleep / wake determination of the subject S using the standardized standard deviations ⁇ s 1 to ⁇ s 4 for which such compensation has been performed, the accuracy of the determination can be improved.
  • normalization may be performed by dividing the values of the standard deviations ⁇ 1 to ⁇ 4 by any one of the amplitudes An obtained immediately before or before.
  • the sleep / wake determination unit 33 calculates an activity index (activity index) ACI that is a value obtained by time-integrating a simple average of the standardized standard deviations ⁇ s 1 to ⁇ s 4 according to the following (Equation 2). calculate.
  • the integration time is 20 seconds here, but is not limited to this as described later. Since the standardized standard deviations ⁇ s 1 to ⁇ s 4 increase according to the body motion of the subject S, the activity index ACI increases when the subject S shows the body motion that causes a greater load change over a longer period of time. That is, the activity index ACI is a parameter reflecting both the magnitude of body movement and the duration (duration) of body movement.
  • Equation 2 the simple average of the standardized standard deviations ⁇ s 1 to ⁇ s 4 is obtained for the following reason. That is, the balance of the values of the standardized standard deviations ⁇ s 1 to ⁇ s 4 varies according to the position of the subject S on the bed BD. For example, when the center of gravity G of the subject S is in the vicinity of the load detector 11. The value of the standardized standard deviation ⁇ s 1 becomes larger than the values of other standardized standard deviations. In such a case, for example, the value of the standardized standard deviation ⁇ s 2 may not increase sufficiently even when the subject S shows a large body movement. By determining the simple average of the standardized standard deviations ⁇ s 1 to ⁇ s 4 , the influence of the position of the subject S on the bed BD can be suppressed.
  • the sleep / wake determination unit 33 calculates a new activity index ACI every 20 seconds using the values of the standardized standard deviations ⁇ s 1 to ⁇ s 4 at each sampling time in the past 20 seconds. Then, based on the comparison between the calculated activity index ACI and a predetermined threshold, it is determined whether the subject S is in a sleeping state or in an awake state.
  • the comparison between the activity index ACI and the threshold is performed as follows, for example.
  • the determination accuracy can be further improved by performing the determination using not only the latest activity index ACI but also a plurality of activity indexes ACI obtained within a certain time width.
  • the amount of body movement that a human shows during sleep is less than the amount of body movement that awakens.
  • the sleeping phase may be changed by moving the limbs or head. Therefore, the presence / absence of the body movement and the number of body movements of the subject S are determined from the values of the standardized standard deviations ⁇ s 1 to ⁇ s 4 , and the sleep / wake determination is performed based only on the presence / absence of the body movement and the number of body movements.
  • the accuracy of the determination is not sufficient.
  • the activity index ACI is a value obtained by time integration of a simple average of the standardized standard deviations ⁇ s 1 to ⁇ s 4 , and the size of the body motion (the increase amount of the standardized standard deviations ⁇ s 1 to ⁇ s 4 ). Size) and the duration of body movement (the length of the period in which the normalized standard deviations ⁇ s 1 to ⁇ s 4 are increasing).
  • the activity index ACI is not so large if the duration of the body movement is short.
  • the activity index ACI is a large value when the subject S continuously shows a small body movement. Become.
  • 6 (a) to 6 (e) show schematic concrete examples.
  • FIG. 6 (a) shows the variation of the simple average (hereinafter referred to as ⁇ s AV ) of the standardized standard deviations ⁇ s 1 to ⁇ s 4 when the subject S in the sleeping state rolls down within a period of 20 seconds. It is a schematic graph which shows a mode. The value of the activity index ACI corresponding to this period corresponds to the area of the shaded portion of the graph (the same applies to FIGS. 6B to 6E).
  • FIG. 6B is a schematic graph showing how the simple average ⁇ s AV fluctuates when the subject S in the sleep state shows “twitch” within a period of 20 seconds
  • FIG. Schematic graph showing the state of fluctuation of the simple average ⁇ s AV when the subject S in the sleeping state shows a small body movement and changes the right hand from the bent state to the extended state within a period of 20 seconds. It is.
  • FIG. 6D is a schematic graph showing how the simple average ⁇ s AV fluctuates when the subject S in the awake state is reading within a period of 20 seconds, and FIG. it is within a period of 20 seconds, a schematic graph showing the variation state of the simple average [sigma] s AV when the subject S is going to eat in the awake state.
  • the value of the activity index ACI tends to be larger when the awakening subject S shows continuous body movement. Therefore, by appropriately setting the threshold value used for the determination, the influence of instantaneous body movements such as turning over, switching, and change in the sleep phase shown by the subject S during sleep is reduced, and sleep / wakefulness with high accuracy is achieved. Judgment can be made.
  • the determination result output by the control unit is displayed on the display unit 5. Specifically, for example, whether or not the subject S is in a sleep state or in an awake state is always displayed on the monitor 51, and when the subject S has changed from a sleep state to an awake state, the speaker 52 is used to that effect. To the user.
  • the sleep / wake determination system 100 of the present embodiment performs the sleep / wake determination of the subject S using the activity index ACI. Therefore, the influence of the body movement with a short duration that occurs during the sleep of the subject S, such as turning over or switching, on the determination is suppressed, and the determination accuracy is high.
  • the sleep / wake determination system 100 of the present embodiment calculates the activity index ACI using the standardized standard deviations ⁇ s 1 to ⁇ s 4 obtained by normalizing the values of the standard deviations ⁇ 1 to ⁇ 4 by the respiratory waveform average amplitude A. ing. Therefore, the influence of the physical characteristics of the subject S on the values of the standard deviations ⁇ 1 to ⁇ 4 and thus on the sleep / wake determination is reduced, and the determination accuracy is high.
  • the sleep / wake determination system 100 of this embodiment monitors the biological state of the subject S using the load detectors 11 to 14 arranged below the legs BL 1 to BL 4 of the bed BD. Therefore, it is not necessary to attach a measuring device to the body of the subject S, and the subject S does not feel uncomfortable or uncomfortable.
  • the sleep / wake determination unit 33 calculates the activity index ACI using (Equation 2), but the method of calculating the activity index ACI is limited to this. Absent.
  • the sleep / wake determination unit 33 replaces the standardized standard deviations ⁇ s 1 to ⁇ s 4 with the standard deviations ⁇ 1 to ⁇ 4 in (Expression 2), and uses the following (Expression 3) for the activity index ACI. You may ask for.
  • the sleep / wake determination unit 33 selects the standardized standard deviations ⁇ s 1 to ⁇ s 4 having the largest value at each sampling time, and standardizes the maximum value that is a series of values selected at each time.
  • the standard deviation ⁇ s MAX or the standard deviation ⁇ 1 to ⁇ 4 having the largest value is selected at each sampling time, and the maximum standard deviation ⁇ MAX , which is a series of values selected at each time, is set as the time.
  • a value obtained by integration may be used as the value of the activity index ACI.
  • the sleep / wakefulness determination unit 33 is not a simple average of the standardized standard deviations ⁇ s 1 to ⁇ s 4 or a simple average of the standard deviations ⁇ 1 to ⁇ 4 , but at least one of the standardized standard deviations ⁇ s 1 to ⁇ s 4 , or A value obtained by time integration of at least one of the standard deviations ⁇ 1 to ⁇ 4 may be used as the value of the activity index ACI.
  • the activity index ACI of these modified examples is also a parameter reflecting both the size of the body motion and the duration (duration) of the body motion.
  • any parameter that reflects both the magnitude of body motion and the duration (duration) of body motion, obtained by integrating the standard deviation of the temporal variation of the subject's load over time, can be used as the activity index ACI. .
  • the integration time for calculating the activity index ACI is 20 seconds, but is not limited thereto.
  • the integration time can be set arbitrarily, but if the integration time is too short, the distinction between body movements with a short duration and body movements with a long duration will not be clear.
  • the sleep / wake determination interval determination execution cycle
  • the sleep / wake determination unit 33 calculates a new activity index ACI every time the set integration time elapses.
  • a variance that is the square of the standard deviation can be used instead of the standard deviation.
  • a value obtained by integrating the variance over time is also included in the “value obtained by integrating the standard deviation over time”.
  • the sleep / wakefulness determination unit 33 may add hysteresis to the threshold value to be compared with the activity index ACI. Specifically, for example, a first threshold value and a second threshold value larger than this are set, and in a situation where it is determined that the subject S is in a sleep state, the activity index ACI is the second threshold value. It is not determined that the subject S has reached the awake state until the threshold value is exceeded. On the other hand, in a situation where it is determined that the subject S is in the awake state, even if the activity index ACI is less than the second threshold, it is not determined that the subject S has entered the sleep state, and the activity index ACI is When it becomes less than the first threshold, it is determined that the subject S has reached a sleep state.
  • load detectors 11 to 14 are not limited to load sensors using a beam-type load cell, and for example, force sensors can be used.
  • each of the load detectors 11 to 14 is disposed under the caster C attached to the lower end of the leg of the bed BD, but is not limited thereto.
  • Each of the load detectors 11 to 14 may be provided between the four legs of the bed BD and the floor plate of the bed BD, or the upper part if the four legs of the bed BD can be divided vertically. It may be provided between the leg and the lower leg.
  • the load detectors 11 to 14 may be combined with or removable from the bed BD to constitute a bed system BDS including the bed BD and the sleep / wake determination system 100 of the present embodiment (FIG. 7). .
  • the present invention is not limited to the above embodiments, and other forms conceivable within the scope of the technical idea of the present invention are also included in the scope of the present invention. .
  • the sleep / wakefulness determination of a subject can be performed with high accuracy, and high-quality medical care and nursing care can be provided based on the highly accurate determination.

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Abstract

La présente invention concerne un système de détermination de sommeil/veille (100) permettant de déterminer si un sujet sur un lit (BD) est endormi ou éveillé et comprenant : un détecteur de charge (11) qui détecte la charge du sujet sur le lit ; et une unité de détermination (33) qui détermine si le sujet est endormi ou éveillé par comparaison, avec un seuil, d'une valeur obtenue par l'intégration temporelle de l'écart-type de variations de la charge du sujet au cours du temps.
PCT/JP2019/010362 2018-03-14 2019-03-13 Système de détermination de sommeil/veille WO2019177052A1 (fr)

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US20210038146A1 (en) 2021-02-11
CN111867470A (zh) 2020-10-30
CN111867470B (zh) 2021-05-28
EP3766424A1 (fr) 2021-01-20
EP3766424B1 (fr) 2023-03-01
JP6661173B2 (ja) 2020-03-11
JP2019154857A (ja) 2019-09-19

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